system

Abstract

We provide the system. [Solution] A means of receiving information entered by a user and automatically creating a document using a generation engine, A means of reviewing the created document and checking its format, A means of connecting to the digital interface of a government agency and transmitting documents, A means of monitoring the progress of the licensing process and notifying users in real time, A system that includes this.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the current administrative procedures, it takes a lot of time and effort to create the documents required for an application, and furthermore, these documents need to be created in an appropriate format. In addition, the submission process to government agencies is complicated, and it is difficult to grasp the progress of approval in real time. Therefore, for professionals and their clients, work efficiency is significantly reduced, resulting in delays in administrative services. The purpose of this invention is to solve these problems and provide a system that can efficiently perform the process from document creation to obtaining approval.

Means for Solving the Problems

[0005] According to the present invention, a means is provided for collecting information input by a user and automatically generating necessary documents using a generation engine. Furthermore, the generated documents undergo automatic format checks, enabling accurate document creation while saving time. The created documents are transmitted directly by connecting to the digital interface of government agencies, simplifying the application process. In addition, by providing a means for monitoring the progress of permits and licenses and notifying users of the information in real time, the time required to obtain permits and licenses can be shortened, improving the work efficiency of professionals and clients.

[0006] "User" refers to an individual or legal entity that uses this system to input information and receive assistance with administrative procedures.

[0007] A "generative engine" refers to software or algorithms that automatically generate documents based on input information.

[0008] "Document" refers to an electronic file or paper document containing information necessary for administrative procedures.

[0009] "Format checking" refers to the process of verifying that the generated document conforms to the specified format.

[0010] "Government agency digital interface" refers to an online platform or API used by government agencies to send and receive digital data.

[0011] "Progress of permits and licenses" refers to the status of government agencies' responses to submitted documents and the progress of the procedures.

[0012] "Real-time notification to users" refers to the process of immediately informing users of the latest information and progress. [Brief explanation of the drawing]

[0013] [Figure 1]This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention provides a system that streamlines administrative procedures by combining several components, including a user, a server, and a terminal. The user begins by entering the necessary information into a designated interface using a business terminal. The terminal encrypts this information and transmits it to the server. Based on the received information, the server automatically generates the necessary documents using a generation engine.

[0035] The generated documents are checked for formatting accuracy by the server. This check process verifies the document's integrity and compliance according to pre-configured template standards. Documents created in the correct format are then sent from the server to the government agency's digital interface.

[0036] Once the licensing process begins, the server receives progress information from government agencies and updates it in real time. The updated progress information is then pushed from the server to the user's terminal, allowing the user to check this information as needed. This system enables users to automate most tasks, from document creation to licensing acquisition, resulting in reduced processing time and improved accuracy.

[0037] As a concrete example, consider the process of creating an application form. The user enters the necessary data for the application on their terminal. This data may include the applicant's name, address, and details about the application. When the user clicks the "Submit" button, the terminal sends this data to the server. The server analyzes the data and automatically generates the application form using a generation engine. Once the application is checked, it is immediately sent to the government agency. While the application is being processed, the server monitors its progress and notifies the user immediately of any changes. In this way, the user can always monitor the status of their application.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The user uses a terminal to enter the necessary information for the application into the interface. This information includes the applicant's details and other information required for the procedure.

[0041] Step 2:

[0042] The terminal encrypts the entered information and sends it to the server via a secure communication protocol.

[0043] Step 3:

[0044] The server analyzes the received information and selects the necessary document template. Then, it automatically generates the document using a generation engine.

[0045] Step 4:

[0046] The server performs a format check on the generated document to verify that it meets the specified standards. If there are any problems with the check, it generates an error report and sends a notification to the user prompting them to make corrections.

[0047] Step 5:

[0048] The server sends documents that it deems format-compliant to the government agency's digital interface. The transmission is performed using an API.

[0049] Step 6:

[0050] The server receives progress information regarding permits and licenses from government agencies and immediately saves updated information.

[0051] Step 7:

[0052] The server pushes progress updates to the user's device. Users can then check these notifications and monitor the progress of their application in real time.

[0053] Step 8:

[0054] Users can check the final approval status on their device and share the information with clients and stakeholders as needed.

[0055] Through the above process, the entire procedure from application to obtaining permits and licenses is streamlined.

[0056] (Example 1)

[0057] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0058] Traditionally, the process of obtaining permits and licenses in administrative procedures involved a great deal of manual work, requiring considerable time and effort. Furthermore, it was difficult to monitor the progress of the procedures in real time, which was inconvenient for users. There were also challenges regarding data security and document accuracy.

[0059] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0060] In this invention, the server includes means for analyzing information received from the user and automatically generating various documents using a multi-functional generation means, means for verifying the automatically generated documents and confirming their consistency based on a prescribed format, and means for monitoring the progress of the procedure and notifying the user in real time. This makes it possible to automate document creation and streamline progress confirmation in administrative procedures.

[0061] "User" refers to an individual or organization that uses the system to input information and provides information for administrative procedures.

[0062] "Multifunctional generation means" refers to a device or program that automatically generates necessary documents based on input information, with the aim of efficiently creating various types of documents.

[0063] "Standard format" refers to the criteria or template used to verify that a document is generated in an appropriate and consistent format.

[0064] "Public institution electronic interface" refers to online platforms provided by public institutions such as government agencies, and the means of communication used to electronically transmit documents and conduct procedures.

[0065] "Progress status" refers to information indicating the current stage of an administrative procedure, and is data used to allow users to check the progress of the procedure.

[0066] "Enhanced security" refers to the process of encrypting entered information to protect it from leakage and unauthorized access, and is a method to guarantee secure data communication.

[0067] A "central device" refers to a central server or computer system that receives and processes data sent by users.

[0068] "Instant notification" refers to a function that instantly informs users when important information is updated, allowing them to keep track of the progress of procedures in a timely manner.

[0069] This system integrates multiple components, including users, terminals, servers, and generative AI models, to streamline administrative procedures. Users access the system using their work terminals. These terminals are personal computers, such as those running Windows or macOS, and can be accessed via a web browser. Users input the necessary information for creating application forms into a GUI interface.

[0070] The terminal encrypts the provided information and transmits it to the server over the network. This encryption uses standard encryption technologies such as AES (Advanced Encryption Standard) to ensure data security. The server operates on cloud platforms such as AWS® and Azure®, offering high processing power and reliability.

[0071] The server decrypts the received encrypted data and automatically generates the necessary documents using a pre-trained generative AI model. This generative AI model uses OpenAI's GPT series or similar generative engines. Document generation uses prompt statements based on the given information. For example, the generative engine might be given instructions such as, "Generate the documents required for administrative procedures."

[0072] The generated documents are validated by the server based on pre-configured formatting standards. Formatting checks typically use regular expressions in Python or Java (registered trademark) to verify the document's integrity and compliance. Once the checks are complete, the documents are transmitted via the government agency's electronic interface.

[0073] Progress information is monitored in real time by the server, and push notifications are sent to the user's device each time an update is made. Firebase Cloud Messaging and Apple Push Notification Service are used for push notifications. This allows users to immediately understand the progress of the process and take action as needed.

[0074] As a result, users can efficiently manage complex document creation and administrative procedures through this system, achieving both accuracy and speed.

[0075] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0076] Step 1:

[0077] Users use a work terminal to input the information required for administrative procedures into the interface. This information includes data such as name, address, and application details. Once this information is entered, it is temporarily stored on the terminal.

[0078] Step 2:

[0079] The terminal encrypts information entered by the user using AES encryption technology. The encrypted data is then sent to the server using the secure HTTPS protocol. This process reduces the risk of data being intercepted or tampered with during transmission.

[0080] Step 3:

[0081] The server receives the data from the terminal and decrypts it. This decryption allows the server to retrieve the original information. Next, a generative AI model is used to automatically generate the necessary documents from the input data. Specifically, the generation engine is given the prompt message "Generate the documents required for administrative procedures," and the generated documents are saved as a new file.

[0082] Step 4:

[0083] The server validates the generated document based on a pre-configured standard format. Here, Python regular expressions are used to check the document's integrity and conformance. If the correct format is confirmed, the server proceeds to the next step.

[0084] Step 5:

[0085] The server sends verified documents to the public institution's electronic interface. This transmission is done via an API, and the documents are automatically registered in the public database. After the transmission is complete, the server records the process and saves the necessary logs.

[0086] Step 6:

[0087] The server monitors the processing progress of submitted documents in real time. Progress information is periodically obtained from public institutions. Any new developments or changes are updated on the server as progress information.

[0088] Step 7:

[0089] The server pushes updated progress information to the user's device. This notification uses Firebase Cloud Messaging or Apple Push Notification Service, allowing users to receive the notification instantly. Upon receiving the notification, the user can check the progress of the process and decide on the next action as needed.

[0090] (Application Example 1)

[0091] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0092] Currently, administrative procedures are time-consuming and labor-intensive, making it difficult for applicants to track their progress in a timely manner. Furthermore, submitting additional information required for applications is an inefficient process. Therefore, there is a need for increased efficiency in administrative procedures as a whole, and improved convenience for citizens.

[0093] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0094] In this invention, the server includes means for receiving information entered by a user and automatically creating a document, means for reviewing the created document and checking its format, means for connecting to a digital interface of a public institution and transmitting the document, means for monitoring the progress of the licensing process and notifying the user in real time, and means for users to submit additional information. This enables a significant increase in the efficiency of administrative procedures and immediate monitoring of progress.

[0095] "A means of receiving information entered by a user and automatically creating a document" refers to a process that automatically generates necessary documents based on data provided by the user.

[0096] "Means for reviewing created documents and checking their format" refers to a function for verifying whether the structure and format of the generated documents conform to predetermined regulations.

[0097] "Means of connecting to the digital interface of a public institution to transmit documents" refers to connection methods for electronically transmitting documents generated in the systems of local governments and government agencies.

[0098] "Means of monitoring the progress of the licensing process and notifying users in real time" refers to procedures for constantly checking the status of the application process and immediately informing users of any progress or changes.

[0099] "Means for users to submit additional information" refers to a system that allows applicants to provide additional data or documents as needed during the application process.

[0100] The system for realizing this invention consists of a user, a terminal, and a server. First, the user uses an information terminal such as a smartphone or personal computer to operate a dedicated interface and input the information necessary for administrative procedures. The input information is encrypted using the SSL / TLS protocol and securely transmitted to the server.

[0101] The server processes the received information using Python and automatically generates the necessary documents using a generative AI model (e.g., GPT-3®). The generated documents are checked for formatting correctness using software libraries such as NumPy and Pandas. Once the check is complete, the documents are sent to the public institution's digital interface.

[0102] Furthermore, the server monitors the progress of the licensing process and notifies the user in real time using Firebase Cloud Messaging. This allows the user to always know the progress of their application. In addition, if additional information is required during the application process, the user can submit it via their device.

[0103] A concrete example of its use is the procedure for changing an address when moving. The user enters their new address and necessary personal information, and the system automatically generates the required documents for the procedure. The system then notifies the user of the progress based on this information, so the user can always check the status of the procedure.

[0104] Examples of prompt statements for generative AI models include the following:

[0105] "Please enter the necessary details for the new address change notification and generate the document."

[0106] "Please monitor the progress and notify us of any changes."

[0107] In this way, users can proceed with administrative procedures efficiently and quickly.

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The user accesses the information input interface using a terminal and enters the information required for administrative procedures. This input data includes, for example, address, name, and detailed information about the procedure. Once the information is entered, the terminal encrypts the data and prepares for secure communication to the server. Input: User input data, Output: Encrypted data.

[0111] Step 2:

[0112] The terminal sends encrypted data to the server using the SSL / TLS protocol. The server decrypts the received data and prepares it for analysis. Input: encrypted data, Output: decrypted input data. This process ensures the security of the transmitted and received data.

[0113] Step 3:

[0114] The server uses the decoded data to automatically generate the necessary documents using a generative AI model. Python is used for data analysis, breaking down various elements of the data and extracting the information necessary for the document generation process. Input: Analyzed data, Output: Generated documents. In this step, the AI ​​constructs the optimal document based on the provided data.

[0115] Step 4:

[0116] The generated documents are format-checked on the server side using Pandas and NumPy. This verifies that the document's integrity and format conform to pre-configured standards. Input: Generated document; Output: Format-checked document. If formatting errors are found, a correction process is applied.

[0117] Step 5:

[0118] The server sends the verified document to the public institution's digital interface. This is done via API communication, etc., and the procedure officially begins. Input: Format-verified document, Output: Sent document. Through this process, the document becomes part of the formal procedure.

[0119] Step 6:

[0120] As the licensing process progresses, the server monitors the progress and sends real-time notifications to the device using Firebase Cloud Messaging. Users receive notifications on their devices and check the status. Input: progress data, Output: push notifications. This notification allows users to stay informed of the latest status.

[0121] Step 7:

[0122] In some cases, additional information may be required. Users can easily submit additional information and documents on their device. This information is then sent back to the server, and the process continues. Input: Additional information, Output: Submitted additional information. This ensures the process proceeds without interruption.

[0123] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0124] This invention is a system that combines a user, a server, a terminal, and an emotion engine, and in addition to streamlining administrative procedures, it provides services that take into account the user's emotional state. The user first uses the terminal to input the information necessary for the application into the interface. During this input process, the terminal utilizes the emotion engine to analyze the user's emotions in real time. The emotion engine determines the user's emotional state based on the speed and patterns of input, the words selected, and other factors.

[0125] User sentiment data is encrypted and sent to the server along with other input information. The server uses this data to automatically generate documents using a generation engine. During document generation, the user's emotional state is taken into consideration to employ expressions that avoid misunderstandings and language that is sensitive to their feelings.

[0126] The generated documents undergo various format checks on the server. Documents that pass the checks are sent to the government agency's digital interface, including additional information tailored to the user's emotions. For example, if a user is feeling anxious, the server can add a message indicating this to draw the recipient's attention.

[0127] During the licensing process, the server receives and updates information from government agencies and sends real-time notifications to the user's device. The sentiment engine can also reassess the user's emotions during progress notifications and include emotion-sensitive feedback and advice on the next steps. For example, if the server determines that the user is frustrated, it will send a notification that explains the cause of the delay and when it is expected to be resolved.

[0128] Thus, this system aims to improve the user experience by adding emotional considerations to the conventional administrative procedures, while also making the entire application process smoother.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] The user enters the necessary information for the application using a terminal. During this process, an emotion engine built into the terminal analyzes the input data, the user's input speed, and the words they choose in real time.

[0132] Step 2:

[0133] The terminal generates data indicating the user's emotional state and sends it to the server in an encrypted format along with the entered application information.

[0134] Step 3:

[0135] The server automatically generates documents using a generation engine based on the received information and sentiment data. During generation, it selects appropriate wording and expressions, taking sentiment data into consideration.

[0136] Step 4:

[0137] The server performs a format check on the generated document to ensure it conforms to the specified standards. If any problems are found, it notifies the user that corrections are needed.

[0138] Step 5:

[0139] The server sends documents that have passed its checks to the government agency's digital interface. At this time, notes regarding the user's emotional state are added as needed to encourage consideration for the recipient.

[0140] Step 6:

[0141] The server receives progress information from government agencies and updates it. If there is updated information, it re-evaluates the user's sentiment and notifies the device in real time.

[0142] Step 7:

[0143] Users review the provided information and feedback, and then report back to clients and stakeholders. Throughout this process, emotionally driven advice is provided, allowing for smoother execution of subsequent actions.

[0144] This streamlines the entire application process, allowing users to proceed with their tasks while receiving emotional support.

[0145] (Example 2)

[0146] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0147] In modern administrative procedures, processes are often carried out mechanically without considering the user's feelings, potentially leading to a diminished user experience. Furthermore, users frequently experience anxiety and tension during these procedures, hindering efficiency. Additionally, misunderstandings and communication breakdowns are common during document creation and verification, potentially causing delays.

[0148] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0149] In this invention, the server includes means for receiving information input from a user and automatically creating a document using generation means, means for analyzing the emotional state contained in the input information and creating a document taking the results into consideration, and means for transmitting the created document including additional information indicating the emotional state. This enables flexible responses that take into account the user's emotions and efficient implementation of administrative procedures.

[0150] A "user" refers to a person who uses the system to carry out administrative procedures.

[0151] "Input information" refers to the data used by users when providing information necessary for a procedure.

[0152] "Generation method" refers to technology that automatically creates documents based on input information.

[0153] "Emotional state" refers to data that represents the user's psychological state or feelings.

[0154] "Analysis" refers to the process by which the emotion engine analyzes the user's input data to determine their emotional state.

[0155] "Additional information" refers to additional data that indicates the user's emotional state.

[0156] "Public institutions" refer to official organizations that manage administrative procedures, such as the government and local authorities.

[0157] A "digital interface" refers to an electronic connection method used for sending and receiving information.

[0158] The "licensing process" refers to a series of procedures for making decisions to approve or permit user applications.

[0159] "Progress" refers to information that indicates the process or status of a procedure.

[0160] "Push notifications" refer to a technology that sends information from a system to a user's device in real time.

[0161] This invention is a system that combines a user, a server, a terminal, and an emotion analysis engine. The system begins with the user using a terminal to input information necessary for administrative procedures. The terminal is equipped with software called an emotion engine, which analyzes the user's emotional state in real time based on the user's typing speed, input patterns, and selected words.

[0162] The device encrypts the analyzed sentiment data and sends it to the server along with other input information. The server automatically generates a document using a generative engine (AI model) based on the received data. This generative engine considers the user's emotional state and selects appropriate wording and expressions to construct the document. The generated document may also include additional information tailored to the user's emotions.

[0163] Next, the server checks the format of the generated document to ensure there are no problems. Once that is complete, the document is sent to the public institution's digital interface, and additional emotional messages may be added as needed. For example, if the user is expressing anxiety, the server can add a supplementary message to that effect to draw the recipient's attention.

[0164] The server also monitors the progress of the licensing process and receives and updates information from government agencies in a timely manner. This progress information is notified to the user's device in real time. Upon receiving the notification, the device's sentiment engine reassessss the user's emotions and provides situation-appropriate feedback and advice on the next steps.

[0165] As a concrete example, consider a scenario where a user applies for a license for a new business. In this case, if the emotion engine detects tension while creating the document, the server sends a notification to the recipient containing a note to take note. An example of a prompt message would be, "Based on the data obtained from the administrative procedure, please use the generative AI model to create an emotion-sensitive document."

[0166] Thus, this system aims to support efficient and smooth administrative procedures while taking into account the user's emotional state.

[0167] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0168] Step 1:

[0169] The user enters the information required for the administrative procedure through the terminal's interface. In this step, the user fills in input fields such as their name, address, and details about the procedure. The entered data is temporarily stored on the terminal and prepared for processing in the next step.

[0170] Step 2:

[0171] The device uses an emotion engine to analyze the user's emotions based on input information. Specifically, it analyzes typing speed, error frequency, and selected words, and uses this data to classify the user's emotional state into categories such as "reassured," "anxious," and "unsettled." The analysis results are stored on the device as emotion data.

[0172] Step 3:

[0173] The device encrypts input information and sentiment data before sending it to the server. In this step, in addition to the normal data transmission process, an encryption algorithm is applied to protect user privacy. The server receives the encrypted data and prepares to decrypt it.

[0174] Step 4:

[0175] The server decrypts encrypted information and automatically generates documents using a generation engine. In this process, a generation AI model is used, combining the decrypted input information with sentiment data to select appropriate expressions and wording based on the content. The generated documents appropriately reflect the key points of the input information and are emotionally sensitive.

[0176] Step 5:

[0177] The server checks the format of the generated document. At this stage, it verifies the grammar, formality, and layout of the document to ensure there are no problems. Afterward, the document is prepared for the next processing step.

[0178] Step 6:

[0179] The server adds additional information indicating the emotional state of the document and transmits it to the public institution's digital interface. For example, if the user is anxious, a message indicating this is added to alert the recipient. The document is designed to facilitate smooth handling by the procedural officer.

[0180] Step 7:

[0181] The server monitors the progress of the licensing process and updates it whenever progress information is received. This update information is then notified to the user's device in real time. This allows the user to always be aware of the status of their procedure.

[0182] Step 8:

[0183] The device restarts its emotion engine each time a new notification arrives, reassessing the user's emotions. Based on the user's emotional state, it provides additional advice and feedback regarding progress updates. For example, if the device determines that the user is frustrated, it will provide a notification detailing the reason for the delay and the expected resolution time.

[0184] Through this series of steps, the system aims to streamline administrative procedures efficiently and smoothly while taking user emotions into consideration.

[0185] (Application Example 2)

[0186] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0187] In administrative procedures, the challenge lies in reducing the stress and anxiety faced by residents and achieving efficiency and smooth progress in these processes. Furthermore, it is necessary to improve understanding of and trust in these procedures through communication that takes into account the emotions of the users.

[0188] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0189] In this invention, the server includes means for receiving information input from a user and analyzing the user's emotional state using an emotion analysis engine, means for automatically creating a document that takes the analyzed emotional data into account using a generation engine, and means for connecting to the digital interface of an administrative agency and transmitting the document. This makes it possible to provide the user with feedback based on their emotional state according to the progress of the administrative procedure, thereby reducing the stress of the procedure.

[0190] "User" refers to an individual or organization that uses this system to carry out administrative procedures.

[0191] An "emotion analysis engine" refers to software or hardware that analyzes the user's input information, including speed, patterns, and selected words, to determine the user's emotional state.

[0192] A "generative engine" refers to software that automatically creates user-specific documents by taking into account analyzed emotional data.

[0193] "Document" refers to a set of documents that incorporate the information necessary for the user's application process and are submitted to government agencies.

[0194] "Feedback" refers to advice and information provided by the system in a way that is tailored to the user's emotional state, and is used to support the smooth and secure execution of procedures.

[0195] "Administrative agency" refers to a government or related public body that has the authority to accept applications from users and issue licenses and permits.

[0196] A "digital interface" refers to the online communication methods and platforms used by government agencies and this system to exchange information.

[0197] "Notifications" refer to messages or alerts that communicate the progress of this system and related information to users in real time.

[0198] This system consists of a user, a terminal, a server, and an emotion analysis engine. Specifically, the user uses a terminal to input the information required for the application, and this input data is analyzed in real time by the emotion analysis engine. The emotion analysis engine is responsible for determining the user's emotional state based on the speed, patterns, and selected words of the input information. In terms of hardware, a smartphone or tablet terminal is used to receive user input, and in terms of software, there is a platform on which the emotion analysis engine and generation engine operate.

[0199] The server automatically generates documents using a generation engine based on information received from the user and analyzed emotional data. This process considers the user's emotional state, selecting expressions that avoid misunderstandings and using emotionally sensitive language. The generated documents are then formatted and sent to the government agency's digital interface. The server also generates feedback tailored to the user's emotional state and notifications to guide the user through the next steps. Specific software components include an emotional analysis module and a document generation module.

[0200] For example, when a user is making an online payment for utilities, this system can provide reassuring messages to reduce user stress and frustration, ensuring the process goes smoothly. An example of a prompt for the generating AI model might be: "Generate appropriate feedback based on the user's emotional data during the online process. For example, provide reassuring feedback if the user is feeling anxious."

[0201] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0202] Step 1:

[0203] The user uses a terminal to input the necessary information for the application into the interface. This data input is the first input to the system. The terminal collects data such as characters, speed, and patterns entered, and prepares it for subsequent processing.

[0204] Step 2:

[0205] The device sends the input data to an emotion analysis engine, which determines the user's emotional state in real time. The emotion analysis engine analyzes the speed and patterns of the input string and the selected words, and uses that information to output the user's emotional state.

[0206] Step 3:

[0207] The server receives emotional data obtained from the emotion analysis engine and information entered by the user. Based on this information, it uses a generation engine to automatically generate documents that take the user's emotional state into consideration. The documents use expressions that do not cause misunderstandings and words that are sensitive to the user's emotions, and the output is content that is appropriate for the user.

[0208] Step 4:

[0209] The generated documents undergo a format check on the server. The server verifies that the document's appearance and content conform to the specified requirements, and corrects any deficiencies. Only documents that pass this check proceed to the next step.

[0210] Step 5:

[0211] The server transmits the proofread documents to the government agency's digital interface. The output here is a document that follows official procedures and provides information that the government agency can use to process it appropriately.

[0212] Step 6:

[0213] The server monitors the progress of the licensing process and notifies the user of updated information. The user receives real-time progress updates via their device, along with guidance on the next steps and feedback. This feedback is tailored to the user's emotional state, providing reassurance.

[0214] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0215] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0216] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0217] [Second Embodiment]

[0218] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0219] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0220] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0221] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0222] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0223] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0224] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0225] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0226] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0227] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0228] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0229] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0230] This invention provides a system that streamlines administrative procedures by combining several components, including a user, a server, and a terminal. The user begins by entering the necessary information into a designated interface using a business terminal. The terminal encrypts this information and transmits it to the server. Based on the received information, the server automatically generates the necessary documents using a generation engine.

[0231] The generated documents are checked for formatting accuracy by the server. This check process verifies the document's integrity and compliance according to pre-configured template standards. Documents created in the correct format are then sent from the server to the government agency's digital interface.

[0232] Once the licensing process begins, the server receives progress information from government agencies and updates it in real time. The updated progress information is then pushed from the server to the user's terminal, allowing the user to check this information as needed. This system enables users to automate most tasks, from document creation to licensing acquisition, resulting in reduced processing time and improved accuracy.

[0233] As a concrete example, consider the process of creating an application form. The user enters the necessary data for the application on their terminal. This data may include the applicant's name, address, and details about the application. When the user clicks the "Submit" button, the terminal sends this data to the server. The server analyzes the data and automatically generates the application form using a generation engine. Once the application is checked, it is immediately sent to the government agency. While the application is being processed, the server monitors its progress and notifies the user immediately of any changes. In this way, the user can always monitor the status of their application.

[0234] The following describes the processing flow.

[0235] Step 1:

[0236] The user uses a terminal to enter the necessary information for the application into the interface. This information includes the applicant's details and other information required for the procedure.

[0237] Step 2:

[0238] The terminal encrypts the entered information and sends it to the server via a secure communication protocol.

[0239] Step 3:

[0240] The server analyzes the received information and selects the necessary document template. Then, it automatically generates the document using a generation engine.

[0241] Step 4:

[0242] The server performs a format check on the generated document to verify that it meets the specified standards. If there are any problems with the check, it generates an error report and sends a notification to the user prompting them to make corrections.

[0243] Step 5:

[0244] The server sends documents that it deems format-compliant to the government agency's digital interface. The transmission is performed using an API.

[0245] Step 6:

[0246] The server receives progress information regarding permits and licenses from government agencies and immediately saves updated information.

[0247] Step 7:

[0248] The server pushes progress updates to the user's device. Users can then check these notifications and monitor the progress of their application in real time.

[0249] Step 8:

[0250] Users can check the final approval status on their device and share the information with clients and stakeholders as needed.

[0251] Through the above process, the entire procedure from application to obtaining permits and licenses is streamlined.

[0252] (Example 1)

[0253] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0254] Traditionally, the process of obtaining permits and licenses in administrative procedures involved a great deal of manual work, requiring considerable time and effort. Furthermore, it was difficult to monitor the progress of the procedures in real time, which was inconvenient for users. There were also challenges regarding data security and document accuracy.

[0255] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0256] In this invention, the server includes means for analyzing information received from the user and automatically generating various documents using a multi-functional generation means, means for verifying the automatically generated documents and confirming their consistency based on a prescribed format, and means for monitoring the progress of the procedure and notifying the user in real time. This makes it possible to automate document creation and streamline progress confirmation in administrative procedures.

[0257] "User" refers to an individual or organization that uses the system to input information and provides information for administrative procedures.

[0258] "Multifunctional generation means" refers to a device or program that automatically generates necessary documents based on input information, with the aim of efficiently creating various types of documents.

[0259] "Standard format" refers to the criteria or template used to verify that a document is generated in an appropriate and consistent format.

[0260] "Public institution electronic interface" refers to online platforms provided by public institutions such as government agencies, and the means of communication used to electronically transmit documents and conduct procedures.

[0261] "Progress status" refers to information indicating the current stage of an administrative procedure, and is data used to allow users to check the progress of the procedure.

[0262] "Enhanced security" refers to the process of encrypting entered information to protect it from leakage and unauthorized access, and is a method to guarantee secure data communication.

[0263] A "central device" refers to a central server or computer system that receives and processes data sent by users.

[0264] "Instant notification" refers to a function that instantly informs users when important information is updated, allowing them to keep track of the progress of procedures in a timely manner.

[0265] This system integrates multiple components, including users, terminals, servers, and generative AI models, to streamline administrative procedures. Users access the system using their work terminals. These terminals are personal computers, such as those running Windows or macOS, and can be accessed via a web browser. Users input the necessary information for creating application forms into a GUI interface.

[0266] The terminal encrypts the provided information and transmits it to the server over the network. This encryption uses standard encryption technologies such as AES (Advanced Encryption Standard) to ensure data security. The server operates on cloud platforms such as AWS and Azure, offering high processing power and reliability.

[0267] The server decrypts the received encrypted data and automatically generates the necessary documents using a pre-trained generative AI model. This generative AI model uses OpenAI's GPT series or similar generative engines. Document generation uses prompts based on the given information. For example, the generative engine might be given instructions such as, "Generate the documents required for administrative procedures."

[0268] The generated documents are validated by the server based on pre-configured formatting standards. Formatting checks typically use regular expressions in Python or Java to verify the document's integrity and compliance. Once the checks are complete, the documents are transmitted via the government agency's electronic interface.

[0269] Progress information is monitored in real time by the server, and push notifications are sent to the user's device each time an update is made. Firebase Cloud Messaging and Apple Push Notification Service are used for push notifications. This allows users to immediately understand the progress of the process and take action as needed.

[0270] As a result, users can efficiently manage complex document creation and administrative procedures through this system, achieving both accuracy and speed.

[0271] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0272] Step 1:

[0273] Users use a work terminal to input the information required for administrative procedures into the interface. This information includes data such as name, address, and application details. Once this information is entered, it is temporarily stored on the terminal.

[0274] Step 2:

[0275] The terminal encrypts the information input by the user using the AES encryption technology. The encrypted data is sent to the server using the secure HTTPS protocol. This process reduces the risk of the data being eavesdropped on or tampered with during transmission.

[0276] Step 3:

[0277] The server receives the data received from the terminal and decrypts it. This decryption enables the server to obtain the original information. Next, the generated AI model is used to automatically generate the required documents from the input data. Specifically, the instruction of the prompt sentence "Please generate the documents required for administrative procedures" is given to the generation engine, and the generated document is saved as a new file.

[0278] Step 4:

[0279] The server verifies the generated document based on a preset regulated format. Here, the integrity and compliance of the document are checked using Python regular expressions. If it can be confirmed that the format is correct, proceed to the next step.

[0280] Step 5:

[0281] The server sends the verified document to the electronic interface of the public institution. This transmission is carried out via the API, and the document is automatically registered in the public database. After the transmission is completed, records are made on the server side, and the necessary logs are saved.

[0282] Step 6:

[0283] The server monitors the progress of the procedures of the sent document in real time. Information regarding the progress is obtained regularly from the public institution. When new progress or changes occur, they are updated in the server as progress information.

[0284] Step 7:

[0285] The server pushes and notifies the updated progress information to the user's terminal. For this notification, Firebase Cloud Messaging or Apple Push Notification Service is used, and the user can receive the notification immediately. The user who receives the notification can check the progress of the procedure and determine the next action as needed.

[0286] (Application Example 1)

[0287] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0288] Currently, administrative procedures require a lot of time and effort, and it is difficult for applicants to grasp the progress situation in a timely manner. In addition, the submission of additional information required for the application has become an inefficient task. As a result, there is a need to improve the efficiency of the entire administrative procedure and the convenience for citizens.

[0289] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0290] In this invention, the server includes means for receiving information input from the user and automatically creating a document, means for checking the created document for format, means for connecting to the digital interface of a public institution and transmitting the document, means for monitoring the progress of the approval process and notifying the user in real time, and means for allowing the user to submit additional information. As a result, it is possible to greatly improve the efficiency of administrative procedures and immediately grasp the progress situation.

[0291] The "means for receiving information input from the user and automatically creating a document" is a process of automatically generating necessary documents based on the data provided by the user.

[0292] "Means for reviewing created documents and checking their format" refers to a function for verifying whether the structure and format of the generated documents conform to predetermined regulations.

[0293] "Means of connecting to the digital interface of a public institution to transmit documents" refers to connection methods for electronically transmitting documents generated in the systems of local governments and government agencies.

[0294] "Means of monitoring the progress of the licensing process and notifying users in real time" refers to procedures for constantly checking the status of the application process and immediately informing users of any progress or changes.

[0295] "Means for users to submit additional information" refers to a system that allows applicants to provide additional data or documents as needed during the application process.

[0296] The system for realizing this invention consists of a user, a terminal, and a server. First, the user uses an information terminal such as a smartphone or personal computer to operate a dedicated interface and input the information necessary for administrative procedures. The input information is encrypted using the SSL / TLS protocol and securely transmitted to the server.

[0297] The server processes the received information using Python and automatically generates the necessary documents using a generative AI model (e.g., GPT-3). The generated documents are checked for formatting correctness using software libraries such as NumPy and Pandas. Once the check is complete, the documents are sent to the public institution's digital interface.

[0298] Furthermore, the server monitors the progress of the licensing process and notifies the user in real time using Firebase Cloud Messaging. This allows the user to always know the progress of their application. In addition, if additional information is required during the application process, the user can submit it via their device.

[0299] As a specific usage example, the address change procedure associated with moving can be cited. The user inputs the new address and necessary personal information, and causes the system to automatically generate the documents required for the procedure. Based on this information, the system notifies the progress, so the user can always check the progress of the procedure.

[0300] Examples of prompt texts for the generation AI model are as follows:

[0301] "Please input the detailed information required for the new address change form and generate the document."

[0302] "Monitor the progress and notify if there are any changes."

[0303] In this way, the user can proceed with administrative procedures efficiently and quickly.

[0304] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0305] Step 1:

[0306] The user uses the terminal to access the information input interface and inputs the information required for the administrative procedure. This input data includes, for example, the address, name, and detailed information regarding the procedure. When the information is input, the terminal encrypts the data and prepares for secure communication with the server. Input: User input data, Output: Encrypted data.

[0307] Step 2:

[0308] The terminal transmits the encrypted data to the server using the SSL / TLS protocol. The server decrypts the received data and prepares it for analysis. Input: Encrypted data, Output: Decrypted input data. This process ensures the security of the transmitted and received data.

[0309] Step 3:

[0310] The server uses the decoded data to automatically generate the necessary documents using a generative AI model. Python is used for data analysis, breaking down various elements of the data and extracting the information necessary for the document generation process. Input: Analyzed data, Output: Generated documents. In this step, the AI ​​constructs the optimal document based on the provided data.

[0311] Step 4:

[0312] The generated documents are format-checked on the server side using Pandas and NumPy. This verifies that the document's integrity and format conform to pre-configured standards. Input: Generated document; Output: Format-checked document. If formatting errors are found, a correction process is applied.

[0313] Step 5:

[0314] The server sends the verified document to the public institution's digital interface. This is done via API communication, etc., and the procedure officially begins. Input: Format-verified document, Output: Sent document. Through this process, the document becomes part of the formal procedure.

[0315] Step 6:

[0316] As the licensing process progresses, the server monitors the progress and sends real-time notifications to the device using Firebase Cloud Messaging. Users receive notifications on their devices and check the status. Input: progress data, Output: push notifications. This notification allows users to stay informed of the latest status.

[0317] Step 7:

[0318] In some cases, additional information may be required. Users can easily submit additional information and documents on their device. This information is then sent back to the server, and the process continues. Input: Additional information, Output: Submitted additional information. This ensures the process proceeds without interruption.

[0319] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0320] This invention is a system that combines a user, a server, a terminal, and an emotion engine, and in addition to streamlining administrative procedures, it provides services that take into account the user's emotional state. The user first uses the terminal to input the information necessary for the application into the interface. During this input process, the terminal utilizes the emotion engine to analyze the user's emotions in real time. The emotion engine determines the user's emotional state based on the speed and patterns of input, the words selected, and other factors.

[0321] User sentiment data is encrypted and sent to the server along with other input information. The server uses this data to automatically generate documents using a generation engine. During document generation, the user's emotional state is taken into consideration to employ expressions that avoid misunderstandings and language that is sensitive to their feelings.

[0322] The generated documents undergo various format checks on the server. Documents that pass the checks are sent to the government agency's digital interface, including additional information tailored to the user's emotions. For example, if a user is feeling anxious, the server can add a message indicating this to draw the recipient's attention.

[0323] During the licensing process, the server receives and updates information from government agencies and sends real-time notifications to the user's device. The sentiment engine can also reassess the user's emotions during progress notifications and include emotion-sensitive feedback and advice on the next steps. For example, if the server determines that the user is frustrated, it will send a notification that explains the cause of the delay and when it is expected to be resolved.

[0324] Thus, this system aims to improve the user experience by adding emotional considerations to the conventional administrative procedures, while also making the entire application process smoother.

[0325] The following describes the processing flow.

[0326] Step 1:

[0327] The user enters the necessary information for the application using a terminal. During this process, an emotion engine built into the terminal analyzes the input data, the user's input speed, and the words they choose in real time.

[0328] Step 2:

[0329] The terminal generates data indicating the user's emotional state and sends it to the server in an encrypted format along with the entered application information.

[0330] Step 3:

[0331] The server automatically generates documents using a generation engine based on the received information and sentiment data. During generation, it selects appropriate wording and expressions, taking sentiment data into consideration.

[0332] Step 4:

[0333] The server performs a format check on the generated document to ensure it conforms to the specified standards. If any problems are found, it notifies the user that corrections are needed.

[0334] Step 5:

[0335] The server sends documents that have passed its checks to the government agency's digital interface. At this time, notes regarding the user's emotional state are added as needed to encourage consideration for the recipient.

[0336] Step 6:

[0337] The server receives progress information from government agencies and updates it. If there is updated information, it re-evaluates the user's sentiment and notifies the device in real time.

[0338] Step 7:

[0339] Users review the provided information and feedback, and then report back to clients and stakeholders. Throughout this process, emotionally driven advice is provided, allowing for smoother execution of subsequent actions.

[0340] This streamlines the entire application process, allowing users to proceed with their tasks while receiving emotional support.

[0341] (Example 2)

[0342] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0343] In modern administrative procedures, processes are often carried out mechanically without considering the user's feelings, potentially leading to a diminished user experience. Furthermore, users frequently experience anxiety and tension during these procedures, hindering efficiency. Additionally, misunderstandings and communication breakdowns are common during document creation and verification, potentially causing delays.

[0344] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0345] In this invention, the server includes means for receiving information input from a user and automatically creating a document using generation means, means for analyzing the emotional state contained in the input information and creating a document taking the results into consideration, and means for transmitting the created document including additional information indicating the emotional state. This enables flexible responses that take into account the user's emotions and efficient implementation of administrative procedures.

[0346] A "user" refers to a person who uses the system to carry out administrative procedures.

[0347] "Input information" refers to the data used by users when providing information necessary for a procedure.

[0348] "Generation method" refers to technology that automatically creates documents based on input information.

[0349] "Emotional state" refers to data that represents the user's psychological state or feelings.

[0350] "Analysis" refers to the process by which the emotion engine analyzes the user's input data to determine their emotional state.

[0351] "Additional information" refers to additional data that indicates the user's emotional state.

[0352] "Public institutions" refer to official organizations that manage administrative procedures, such as the government and local authorities.

[0353] A "digital interface" refers to an electronic connection method used for sending and receiving information.

[0354] The "licensing process" refers to a series of procedures for making decisions to approve or permit user applications.

[0355] "Progress" refers to information that indicates the process or status of a procedure.

[0356] "Push notifications" refer to a technology that sends information from a system to a user's device in real time.

[0357] This invention is a system that combines a user, a server, a terminal, and an emotion analysis engine. The system begins with the user using a terminal to input information necessary for administrative procedures. The terminal is equipped with software called an emotion engine, which analyzes the user's emotional state in real time based on the user's typing speed, input patterns, and selected words.

[0358] The device encrypts the analyzed sentiment data and sends it to the server along with other input information. The server automatically generates a document using a generative engine (AI model) based on the received data. This generative engine considers the user's emotional state and selects appropriate wording and expressions to construct the document. The generated document may also include additional information tailored to the user's emotions.

[0359] Next, the server checks the format of the generated document to ensure there are no problems. Once that is complete, the document is sent to the public institution's digital interface, and additional emotional messages may be added as needed. For example, if the user is expressing anxiety, the server can add a supplementary message to that effect to draw the recipient's attention.

[0360] The server also monitors the progress of the licensing process and receives and updates information from government agencies in a timely manner. This progress information is notified to the user's device in real time. Upon receiving the notification, the device's sentiment engine reassessss the user's emotions and provides situation-appropriate feedback and advice on the next steps.

[0361] As a concrete example, consider a scenario where a user applies for a license for a new business. In this case, if the emotion engine detects tension while creating the document, the server sends a notification to the recipient containing a note to take note. An example of a prompt message would be, "Based on the data obtained from the administrative procedure, please use the generative AI model to create an emotion-sensitive document."

[0362] Thus, this system aims to support efficient and smooth administrative procedures while taking into account the user's emotional state.

[0363] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0364] Step 1:

[0365] The user enters the information required for the administrative procedure through the terminal's interface. In this step, the user fills in input fields such as their name, address, and details about the procedure. The entered data is temporarily stored on the terminal and prepared for processing in the next step.

[0366] Step 2:

[0367] The device uses an emotion engine to analyze the user's emotions based on input information. Specifically, it analyzes typing speed, error frequency, and selected words, and uses this data to classify the user's emotional state into categories such as "reassured," "anxious," and "unsettled." The analysis results are stored on the device as emotion data.

[0368] Step 3:

[0369] The device encrypts input information and sentiment data before sending it to the server. In this step, in addition to the normal data transmission process, an encryption algorithm is applied to protect user privacy. The server receives the encrypted data and prepares to decrypt it.

[0370] Step 4:

[0371] The server decrypts encrypted information and automatically generates documents using a generation engine. In this process, a generation AI model is used, combining the decrypted input information with sentiment data to select appropriate expressions and wording based on the content. The generated documents appropriately reflect the key points of the input information and are emotionally sensitive.

[0372] Step 5:

[0373] The server checks the format of the generated document. At this stage, it verifies the grammar, formality, and layout of the document to ensure there are no problems. Afterward, the document is prepared for the next processing step.

[0374] Step 6:

[0375] The server adds additional information indicating the emotional state of the document and transmits it to the public institution's digital interface. For example, if the user is anxious, a message indicating this is added to alert the recipient. The document is designed to facilitate smooth handling by the procedural officer.

[0376] Step 7:

[0377] The server monitors the progress of the licensing process and updates it whenever progress information is received. This update information is then notified to the user's device in real time. This allows the user to always be aware of the status of their procedure.

[0378] Step 8:

[0379] The device restarts its emotion engine each time a new notification arrives, reassessing the user's emotions. Based on the user's emotional state, it provides additional advice and feedback regarding progress updates. For example, if the device determines that the user is frustrated, it will provide a notification detailing the reason for the delay and the expected resolution time.

[0380] Through this series of steps, the system aims to streamline administrative procedures efficiently and smoothly while taking user emotions into consideration.

[0381] (Application Example 2)

[0382] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0383] In administrative procedures, the challenge lies in reducing the stress and anxiety faced by residents and achieving efficiency and smooth progress in these processes. Furthermore, it is necessary to improve understanding of and trust in these procedures through communication that takes into account the emotions of the users.

[0384] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0385] In this invention, the server includes means for receiving information input from a user and analyzing the user's emotional state using an emotion analysis engine, means for automatically creating a document that takes the analyzed emotional data into account using a generation engine, and means for connecting to the digital interface of an administrative agency and transmitting the document. This makes it possible to provide the user with feedback based on their emotional state according to the progress of the administrative procedure, thereby reducing the stress of the procedure.

[0386] "User" refers to an individual or organization that uses this system to carry out administrative procedures.

[0387] An "emotion analysis engine" refers to software or hardware that analyzes the user's input information, including speed, patterns, and selected words, to determine the user's emotional state.

[0388] A "generative engine" refers to software that automatically creates user-specific documents by taking into account analyzed emotional data.

[0389] "Document" refers to a set of documents that incorporate the information necessary for the user's application process and are submitted to government agencies.

[0390] "Feedback" refers to advice and information provided by the system in a way that is tailored to the user's emotional state, and is used to support the smooth and secure execution of procedures.

[0391] "Administrative agency" refers to a government or related public body that has the authority to accept applications from users and issue licenses and permits.

[0392] A "digital interface" refers to the online communication methods and platforms used by government agencies and this system to exchange information.

[0393] "Notifications" refer to messages or alerts that communicate the progress of this system and related information to users in real time.

[0394] This system consists of a user, a terminal, a server, and an emotion analysis engine. Specifically, the user uses a terminal to input the information required for the application, and this input data is analyzed in real time by the emotion analysis engine. The emotion analysis engine is responsible for determining the user's emotional state based on the speed, patterns, and selected words of the input information. In terms of hardware, a smartphone or tablet terminal is used to receive user input, and in terms of software, there is a platform on which the emotion analysis engine and generation engine operate.

[0395] The server automatically generates documents using a generation engine based on information received from the user and analyzed emotional data. This process considers the user's emotional state, selecting expressions that avoid misunderstandings and using emotionally sensitive language. The generated documents are then formatted and sent to the government agency's digital interface. The server also generates feedback tailored to the user's emotional state and notifications to guide the user through the next steps. Specific software components include an emotional analysis module and a document generation module.

[0396] For example, when a user is making an online payment for utilities, this system can provide reassuring messages to reduce user stress and frustration, ensuring the process goes smoothly. An example of a prompt for the generating AI model might be: "Generate appropriate feedback based on the user's emotional data during the online process. For example, provide reassuring feedback if the user is feeling anxious."

[0397] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0398] Step 1:

[0399] The user uses a terminal to input the necessary information for the application into the interface. This data input is the first input to the system. The terminal collects data such as characters, speed, and patterns entered, and prepares it for subsequent processing.

[0400] Step 2:

[0401] The device sends the input data to an emotion analysis engine, which determines the user's emotional state in real time. The emotion analysis engine analyzes the speed and patterns of the input string and the selected words, and uses that information to output the user's emotional state.

[0402] Step 3:

[0403] The server receives emotional data obtained from the emotion analysis engine and information entered by the user. Based on this information, it uses a generation engine to automatically generate documents that take the user's emotional state into consideration. The documents use expressions that do not cause misunderstandings and words that are sensitive to the user's emotions, and the output is content that is appropriate for the user.

[0404] Step 4:

[0405] The generated documents undergo a format check on the server. The server verifies that the document's appearance and content conform to the specified requirements, and corrects any deficiencies. Only documents that pass this check proceed to the next step.

[0406] Step 5:

[0407] The server transmits the proofread documents to the government agency's digital interface. The output here is a document that follows official procedures and provides information that the government agency can use to process it appropriately.

[0408] Step 6:

[0409] The server monitors the progress of the licensing process and notifies the user of updated information. The user receives real-time progress updates via their device, along with guidance on the next steps and feedback. This feedback is tailored to the user's emotional state, providing reassurance.

[0410] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0411] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0412] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0413] [Third Embodiment]

[0414] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0415] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0416] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0417] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0418] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0419] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0420] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0421] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0422] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0423] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0424] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0425] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0426] This invention provides a system that streamlines administrative procedures by combining several components, including a user, a server, and a terminal. The user begins by entering the necessary information into a designated interface using a business terminal. The terminal encrypts this information and transmits it to the server. Based on the received information, the server automatically generates the necessary documents using a generation engine.

[0427] The generated documents are checked for formatting accuracy by the server. This check process verifies the document's integrity and compliance according to pre-configured template standards. Documents created in the correct format are then sent from the server to the government agency's digital interface.

[0428] Once the licensing process begins, the server receives progress information from government agencies and updates it in real time. The updated progress information is then pushed from the server to the user's terminal, allowing the user to check this information as needed. This system enables users to automate most tasks, from document creation to licensing acquisition, resulting in reduced processing time and improved accuracy.

[0429] As a concrete example, consider the process of creating an application form. The user enters the necessary data for the application on their terminal. This data may include the applicant's name, address, and details about the application. When the user clicks the "Submit" button, the terminal sends this data to the server. The server analyzes the data and automatically generates the application form using a generation engine. Once the application is checked, it is immediately sent to the government agency. While the application is being processed, the server monitors its progress and notifies the user immediately of any changes. In this way, the user can always monitor the status of their application.

[0430] The following describes the processing flow.

[0431] Step 1:

[0432] The user uses a terminal to enter the necessary information for the application into the interface. This information includes the applicant's details and other information required for the procedure.

[0433] Step 2:

[0434] The terminal encrypts the entered information and sends it to the server via a secure communication protocol.

[0435] Step 3:

[0436] The server analyzes the received information and selects the necessary document template. Then, it automatically generates the document using a generation engine.

[0437] Step 4:

[0438] The server performs a format check on the generated document to verify that it meets the specified standards. If there are any problems with the check, it generates an error report and sends a notification to the user prompting them to make corrections.

[0439] Step 5:

[0440] The server sends documents that it deems format-compliant to the government agency's digital interface. The transmission is performed using an API.

[0441] Step 6:

[0442] The server receives progress information regarding permits and licenses from government agencies and immediately saves updated information.

[0443] Step 7:

[0444] The server pushes progress updates to the user's device. Users can then check these notifications and monitor the progress of their application in real time.

[0445] Step 8:

[0446] Users can check the final approval status on their device and share the information with clients and stakeholders as needed.

[0447] Through the above process, the entire procedure from application to obtaining permits and licenses is streamlined.

[0448] (Example 1)

[0449] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0450] Traditionally, the process of obtaining permits and licenses in administrative procedures involved a great deal of manual work, requiring considerable time and effort. Furthermore, it was difficult to monitor the progress of the procedures in real time, which was inconvenient for users. There were also challenges regarding data security and document accuracy.

[0451] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0452] In this invention, the server includes means for analyzing information received from the user and automatically generating various documents using a multi-functional generation means, means for verifying the automatically generated documents and confirming their consistency based on a prescribed format, and means for monitoring the progress of the procedure and notifying the user in real time. This makes it possible to automate document creation and streamline progress confirmation in administrative procedures.

[0453] "User" refers to an individual or organization that uses the system to input information and provides information for administrative procedures.

[0454] "Multifunctional generation means" refers to a device or program that automatically generates necessary documents based on input information, with the aim of efficiently creating various types of documents.

[0455] "Standard format" refers to the criteria or template used to verify that a document is generated in an appropriate and consistent format.

[0456] "Public institution electronic interface" refers to online platforms provided by public institutions such as government agencies, and the means of communication used to electronically transmit documents and conduct procedures.

[0457] "Progress status" refers to information indicating the current stage of an administrative procedure, and is data used to allow users to check the progress of the procedure.

[0458] "Enhanced security" refers to the process of encrypting entered information to protect it from leakage and unauthorized access, and is a method to guarantee secure data communication.

[0459] A "central device" refers to a central server or computer system that receives and processes data sent by users.

[0460] "Instant notification" refers to a function that instantly informs users when important information is updated, allowing them to keep track of the progress of procedures in a timely manner.

[0461] This system integrates multiple components, including users, terminals, servers, and generative AI models, to streamline administrative procedures. Users access the system using their work terminals. These terminals are personal computers, such as those running Windows or macOS, and can be accessed via a web browser. Users input the necessary information for creating application forms into a GUI interface.

[0462] The terminal encrypts the provided information and transmits it to the server over the network. This encryption uses standard encryption technologies such as AES (Advanced Encryption Standard) to ensure data security. The server operates on cloud platforms such as AWS and Azure, offering high processing power and reliability.

[0463] The server decrypts the received encrypted data and automatically generates the necessary documents using a pre-trained generative AI model. This generative AI model uses OpenAI's GPT series or similar generative engines. Document generation uses prompts based on the given information. For example, the generative engine might be given instructions such as, "Generate the documents required for administrative procedures."

[0464] The generated documents are validated by the server based on pre-configured formatting standards. Formatting checks typically use regular expressions in Python or Java to verify the document's integrity and compliance. Once the checks are complete, the documents are transmitted via the government agency's electronic interface.

[0465] Progress information is monitored in real time by the server, and push notifications are sent to the user's device each time an update is made. Firebase Cloud Messaging and Apple Push Notification Service are used for push notifications. This allows users to immediately understand the progress of the process and take action as needed.

[0466] As a result, users can efficiently manage complex document creation and administrative procedures through this system, achieving both accuracy and speed.

[0467] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0468] Step 1:

[0469] Users use a work terminal to input the information required for administrative procedures into the interface. This information includes data such as name, address, and application details. Once this information is entered, it is temporarily stored on the terminal.

[0470] Step 2:

[0471] The terminal encrypts information entered by the user using AES encryption technology. The encrypted data is then sent to the server using the secure HTTPS protocol. This process reduces the risk of data being intercepted or tampered with during transmission.

[0472] Step 3:

[0473] The server receives the data from the terminal and decrypts it. This decryption allows the server to retrieve the original information. Next, a generative AI model is used to automatically generate the necessary documents from the input data. Specifically, the generation engine is given the prompt message "Generate the documents required for administrative procedures," and the generated documents are saved as a new file.

[0474] Step 4:

[0475] The server validates the generated document based on a pre-configured standard format. Here, Python regular expressions are used to check the document's integrity and conformance. If the correct format is confirmed, the server proceeds to the next step.

[0476] Step 5:

[0477] The server sends verified documents to the public institution's electronic interface. This transmission is done via an API, and the documents are automatically registered in the public database. After the transmission is complete, the server records the process and saves the necessary logs.

[0478] Step 6:

[0479] The server monitors the processing progress of submitted documents in real time. Progress information is periodically obtained from public institutions. Any new developments or changes are updated on the server as progress information.

[0480] Step 7:

[0481] The server pushes updated progress information to the user's device. This notification uses Firebase Cloud Messaging or Apple Push Notification Service, allowing users to receive the notification instantly. Upon receiving the notification, the user can check the progress of the process and decide on the next action as needed.

[0482] (Application Example 1)

[0483] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0484] Currently, administrative procedures are time-consuming and labor-intensive, making it difficult for applicants to track their progress in a timely manner. Furthermore, submitting additional information required for applications is an inefficient process. Therefore, there is a need for increased efficiency in administrative procedures as a whole, and improved convenience for citizens.

[0485] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0486] In this invention, the server includes means for receiving information entered by a user and automatically creating a document, means for reviewing the created document and checking its format, means for connecting to a digital interface of a public institution and transmitting the document, means for monitoring the progress of the licensing process and notifying the user in real time, and means for users to submit additional information. This enables a significant increase in the efficiency of administrative procedures and immediate monitoring of progress.

[0487] "A means of receiving information entered by a user and automatically creating a document" refers to a process that automatically generates necessary documents based on data provided by the user.

[0488] "Means for reviewing created documents and checking their format" refers to a function for verifying whether the structure and format of the generated documents conform to predetermined regulations.

[0489] "Means of connecting to the digital interface of a public institution to transmit documents" refers to connection methods for electronically transmitting documents generated in the systems of local governments and government agencies.

[0490] "Means of monitoring the progress of the licensing process and notifying users in real time" refers to procedures for constantly checking the status of the application process and immediately informing users of any progress or changes.

[0491] "Means for users to submit additional information" refers to a system that allows applicants to provide additional data or documents as needed during the application process.

[0492] The system for realizing this invention consists of a user, a terminal, and a server. First, the user uses an information terminal such as a smartphone or personal computer to operate a dedicated interface and input the information necessary for administrative procedures. The input information is encrypted using the SSL / TLS protocol and securely transmitted to the server.

[0493] The server processes the received information using Python and automatically generates the necessary documents using a generative AI model (e.g., GPT-3). The generated documents are checked for formatting correctness using software libraries such as NumPy and Pandas. Once the check is complete, the documents are sent to the public institution's digital interface.

[0494] Furthermore, the server monitors the progress of the licensing process and notifies the user in real time using Firebase Cloud Messaging. This allows the user to always know the progress of their application. In addition, if additional information is required during the application process, the user can submit it via their device.

[0495] A concrete example of its use is the procedure for changing an address when moving. The user enters their new address and necessary personal information, and the system automatically generates the required documents for the procedure. The system then notifies the user of the progress based on this information, so the user can always check the status of the procedure.

[0496] Examples of prompt statements for generative AI models include the following:

[0497] "Please enter the necessary details for the new address change notification and generate the document."

[0498] "Please monitor the progress and notify us of any changes."

[0499] In this way, users can proceed with administrative procedures efficiently and quickly.

[0500] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0501] Step 1:

[0502] The user accesses the information input interface using a terminal and enters the information required for administrative procedures. This input data includes, for example, address, name, and detailed information about the procedure. Once the information is entered, the terminal encrypts the data and prepares for secure communication to the server. Input: User input data, Output: Encrypted data.

[0503] Step 2:

[0504] The terminal sends encrypted data to the server using the SSL / TLS protocol. The server decrypts the received data and prepares it for analysis. Input: encrypted data, Output: decrypted input data. This process ensures the security of the transmitted and received data.

[0505] Step 3:

[0506] The server uses the decoded data to automatically generate the necessary documents using a generative AI model. Python is used for data analysis, breaking down various elements of the data and extracting the information necessary for the document generation process. Input: Analyzed data, Output: Generated documents. In this step, the AI ​​constructs the optimal document based on the provided data.

[0507] Step 4:

[0508] The generated documents are format-checked on the server side using Pandas and NumPy. This verifies that the document's integrity and format conform to pre-configured standards. Input: Generated document; Output: Format-checked document. If formatting errors are found, a correction process is applied.

[0509] Step 5:

[0510] The server sends the verified document to the public institution's digital interface. This is done via API communication, etc., and the procedure officially begins. Input: Format-verified document, Output: Sent document. Through this process, the document becomes part of the formal procedure.

[0511] Step 6:

[0512] As the licensing process progresses, the server monitors the progress and sends real-time notifications to the device using Firebase Cloud Messaging. Users receive notifications on their devices and check the status. Input: progress data, Output: push notifications. This notification allows users to stay informed of the latest status.

[0513] Step 7:

[0514] In some cases, additional information may be required. Users can easily submit additional information and documents on their device. This information is then sent back to the server, and the process continues. Input: Additional information, Output: Submitted additional information. This ensures the process proceeds without interruption.

[0515] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0516] This invention is a system that combines a user, a server, a terminal, and an emotion engine, and in addition to streamlining administrative procedures, it provides services that take into account the user's emotional state. The user first uses the terminal to input the information necessary for the application into the interface. During this input process, the terminal utilizes the emotion engine to analyze the user's emotions in real time. The emotion engine determines the user's emotional state based on the speed and patterns of input, the words selected, and other factors.

[0517] User sentiment data is encrypted and sent to the server along with other input information. The server uses this data to automatically generate documents using a generation engine. During document generation, the user's emotional state is taken into consideration to employ expressions that avoid misunderstandings and language that is sensitive to their feelings.

[0518] The generated documents undergo various format checks on the server. Documents that pass the checks are sent to the government agency's digital interface, including additional information tailored to the user's emotions. For example, if a user is feeling anxious, the server can add a message indicating this to draw the recipient's attention.

[0519] During the licensing process, the server receives and updates information from government agencies and sends real-time notifications to the user's device. The sentiment engine can also reassess the user's emotions during progress notifications and include emotion-sensitive feedback and advice on the next steps. For example, if the server determines that the user is frustrated, it will send a notification that explains the cause of the delay and when it is expected to be resolved.

[0520] Thus, this system aims to improve the user experience by adding emotional considerations to the conventional administrative procedures, while also making the entire application process smoother.

[0521] The following describes the processing flow.

[0522] Step 1:

[0523] The user enters the necessary information for the application using a terminal. During this process, an emotion engine built into the terminal analyzes the input data, the user's input speed, and the words they choose in real time.

[0524] Step 2:

[0525] The terminal generates data indicating the user's emotional state and sends it to the server in an encrypted format along with the entered application information.

[0526] Step 3:

[0527] The server automatically generates documents using a generation engine based on the received information and sentiment data. During generation, it selects appropriate wording and expressions, taking sentiment data into consideration.

[0528] Step 4:

[0529] The server performs a format check on the generated document to ensure it conforms to the specified standards. If any problems are found, it notifies the user that corrections are needed.

[0530] Step 5:

[0531] The server sends documents that have passed its checks to the government agency's digital interface. At this time, notes regarding the user's emotional state are added as needed to encourage consideration for the recipient.

[0532] Step 6:

[0533] The server receives progress information from government agencies and updates it. If there is updated information, it re-evaluates the user's sentiment and notifies the device in real time.

[0534] Step 7:

[0535] Users review the provided information and feedback, and then report back to clients and stakeholders. Throughout this process, emotionally driven advice is provided, allowing for smoother execution of subsequent actions.

[0536] This streamlines the entire application process, allowing users to proceed with their tasks while receiving emotional support.

[0537] (Example 2)

[0538] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0539] In modern administrative procedures, processes are often carried out mechanically without considering the user's feelings, potentially leading to a diminished user experience. Furthermore, users frequently experience anxiety and tension during these procedures, hindering efficiency. Additionally, misunderstandings and communication breakdowns are common during document creation and verification, potentially causing delays.

[0540] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0541] In this invention, the server includes means for receiving information input from a user and automatically creating a document using generation means, means for analyzing the emotional state contained in the input information and creating a document taking the results into consideration, and means for transmitting the created document including additional information indicating the emotional state. This enables flexible responses that take into account the user's emotions and efficient implementation of administrative procedures.

[0542] A "user" refers to a person who uses the system to carry out administrative procedures.

[0543] "Input information" refers to the data used by users when providing information necessary for a procedure.

[0544] "Generation method" refers to technology that automatically creates documents based on input information.

[0545] "Emotional state" refers to data that represents the user's psychological state or feelings.

[0546] "Analysis" refers to the process by which the emotion engine analyzes the user's input data to determine their emotional state.

[0547] "Additional information" refers to additional data that indicates the user's emotional state.

[0548] "Public institutions" refer to official organizations that manage administrative procedures, such as the government and local authorities.

[0549] A "digital interface" refers to an electronic connection method used for sending and receiving information.

[0550] The "licensing process" refers to a series of procedures for making decisions to approve or permit user applications.

[0551] "Progress" refers to information that indicates the process or status of a procedure.

[0552] "Push notifications" refer to a technology that sends information from a system to a user's device in real time.

[0553] This invention is a system that combines a user, a server, a terminal, and an emotion analysis engine. The system begins with the user using a terminal to input information necessary for administrative procedures. The terminal is equipped with software called an emotion engine, which analyzes the user's emotional state in real time based on the user's typing speed, input patterns, and selected words.

[0554] The device encrypts the analyzed sentiment data and sends it to the server along with other input information. The server automatically generates a document using a generative engine (AI model) based on the received data. This generative engine considers the user's emotional state and selects appropriate wording and expressions to construct the document. The generated document may also include additional information tailored to the user's emotions.

[0555] Next, the server checks the format of the generated document to ensure there are no problems. Once that is complete, the document is sent to the public institution's digital interface, and additional emotional messages may be added as needed. For example, if the user is expressing anxiety, the server can add a supplementary message to that effect to draw the recipient's attention.

[0556] The server also monitors the progress of the licensing process and receives and updates information from government agencies in a timely manner. This progress information is notified to the user's device in real time. Upon receiving the notification, the device's sentiment engine reassessss the user's emotions and provides situation-appropriate feedback and advice on the next steps.

[0557] As a concrete example, consider a scenario where a user applies for a license for a new business. In this case, if the emotion engine detects tension while creating the document, the server sends a notification to the recipient containing a note to take note. An example of a prompt message would be, "Based on the data obtained from the administrative procedure, please use the generative AI model to create an emotion-sensitive document."

[0558] Thus, this system aims to support efficient and smooth administrative procedures while taking into account the user's emotional state.

[0559] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0560] Step 1:

[0561] The user enters the information required for the administrative procedure through the terminal's interface. In this step, the user fills in input fields such as their name, address, and details about the procedure. The entered data is temporarily stored on the terminal and prepared for processing in the next step.

[0562] Step 2:

[0563] The device uses an emotion engine to analyze the user's emotions based on input information. Specifically, it analyzes typing speed, error frequency, and selected words, and uses this data to classify the user's emotional state into categories such as "reassured," "anxious," and "unsettled." The analysis results are stored on the device as emotion data.

[0564] Step 3:

[0565] The device encrypts input information and sentiment data before sending it to the server. In this step, in addition to the normal data transmission process, an encryption algorithm is applied to protect user privacy. The server receives the encrypted data and prepares to decrypt it.

[0566] Step 4:

[0567] The server decrypts encrypted information and automatically generates documents using a generation engine. In this process, a generation AI model is used, combining the decrypted input information with sentiment data to select appropriate expressions and wording based on the content. The generated documents appropriately reflect the key points of the input information and are emotionally sensitive.

[0568] Step 5:

[0569] The server checks the format of the generated document. At this stage, it verifies the grammar, formality, and layout of the document to ensure there are no problems. Afterward, the document is prepared for the next processing step.

[0570] Step 6:

[0571] The server adds additional information indicating the emotional state of the document and transmits it to the public institution's digital interface. For example, if the user is anxious, a message indicating this is added to alert the recipient. The document is designed to facilitate smooth handling by the procedural officer.

[0572] Step 7:

[0573] The server monitors the progress of the licensing process and updates it whenever progress information is received. This update information is then notified to the user's device in real time. This allows the user to always be aware of the status of their procedure.

[0574] Step 8:

[0575] The device restarts its emotion engine each time a new notification arrives, reassessing the user's emotions. Based on the user's emotional state, it provides additional advice and feedback regarding progress updates. For example, if the device determines that the user is frustrated, it will provide a notification detailing the reason for the delay and the expected resolution time.

[0576] Through this series of steps, the system aims to streamline administrative procedures efficiently and smoothly while taking user emotions into consideration.

[0577] (Application Example 2)

[0578] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0579] In administrative procedures, the challenge lies in reducing the stress and anxiety faced by residents and achieving efficiency and smooth progress in these processes. Furthermore, it is necessary to improve understanding of and trust in these procedures through communication that takes into account the emotions of the users.

[0580] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0581] In this invention, the server includes means for receiving information input from a user and analyzing the user's emotional state using an emotion analysis engine, means for automatically creating a document that takes the analyzed emotional data into account using a generation engine, and means for connecting to the digital interface of an administrative agency and transmitting the document. This makes it possible to provide the user with feedback based on their emotional state according to the progress of the administrative procedure, thereby reducing the stress of the procedure.

[0582] "User" refers to an individual or organization that uses this system to carry out administrative procedures.

[0583] An "emotion analysis engine" refers to software or hardware that analyzes the user's input information, including speed, patterns, and selected words, to determine the user's emotional state.

[0584] A "generative engine" refers to software that automatically creates user-specific documents by taking into account analyzed emotional data.

[0585] "Document" refers to a set of documents that incorporate the information necessary for the user's application process and are submitted to government agencies.

[0586] "Feedback" refers to advice and information provided by the system in a way that is tailored to the user's emotional state, and is used to support the smooth and secure execution of procedures.

[0587] "Administrative agency" refers to a government or related public body that has the authority to accept applications from users and issue licenses and permits.

[0588] A "digital interface" refers to the online communication methods and platforms used by government agencies and this system to exchange information.

[0589] "Notifications" refer to messages or alerts that communicate the progress of this system and related information to users in real time.

[0590] This system consists of a user, a terminal, a server, and an emotion analysis engine. Specifically, the user uses a terminal to input the information required for the application, and this input data is analyzed in real time by the emotion analysis engine. The emotion analysis engine is responsible for determining the user's emotional state based on the speed, patterns, and selected words of the input information. In terms of hardware, a smartphone or tablet terminal is used to receive user input, and in terms of software, there is a platform on which the emotion analysis engine and generation engine operate.

[0591] The server automatically generates documents using a generation engine based on information received from the user and analyzed emotional data. This process considers the user's emotional state, selecting expressions that avoid misunderstandings and using emotionally sensitive language. The generated documents are then formatted and sent to the government agency's digital interface. The server also generates feedback tailored to the user's emotional state and notifications to guide the user through the next steps. Specific software components include an emotional analysis module and a document generation module.

[0592] For example, when a user is making an online payment for utilities, this system can provide reassuring messages to reduce user stress and frustration, ensuring the process goes smoothly. An example of a prompt for the generating AI model might be: "Generate appropriate feedback based on the user's emotional data during the online process. For example, provide reassuring feedback if the user is feeling anxious."

[0593] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0594] Step 1:

[0595] The user uses a terminal to input the necessary information for the application into the interface. This data input is the first input to the system. The terminal collects data such as characters, speed, and patterns entered, and prepares it for subsequent processing.

[0596] Step 2:

[0597] The device sends the input data to an emotion analysis engine, which determines the user's emotional state in real time. The emotion analysis engine analyzes the speed and patterns of the input string and the selected words, and uses that information to output the user's emotional state.

[0598] Step 3:

[0599] The server receives emotional data obtained from the emotion analysis engine and information entered by the user. Based on this information, it uses a generation engine to automatically generate documents that take the user's emotional state into consideration. The documents use expressions that do not cause misunderstandings and words that are sensitive to the user's emotions, and the output is content that is appropriate for the user.

[0600] Step 4:

[0601] The generated documents undergo a format check on the server. The server verifies that the document's appearance and content conform to the specified requirements, and corrects any deficiencies. Only documents that pass this check proceed to the next step.

[0602] Step 5:

[0603] The server transmits the proofread documents to the government agency's digital interface. The output here is a document that follows official procedures and provides information that the government agency can use to process it appropriately.

[0604] Step 6:

[0605] The server monitors the progress of the licensing process and notifies the user of updated information. The user receives real-time progress updates via their device, along with guidance on the next steps and feedback. This feedback is tailored to the user's emotional state, providing reassurance.

[0606] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0607] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0608] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0609] [Fourth Embodiment]

[0610] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0611] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0612] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0613] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0614] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0615] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0616] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0617] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0618] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0619] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0620] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0621] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0622] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0623] This invention provides a system that streamlines administrative procedures by combining several components, including a user, a server, and a terminal. The user begins by entering the necessary information into a designated interface using a business terminal. The terminal encrypts this information and transmits it to the server. Based on the received information, the server automatically generates the necessary documents using a generation engine.

[0624] The generated documents are checked for formatting accuracy by the server. This check process verifies the document's integrity and compliance according to pre-configured template standards. Documents created in the correct format are then sent from the server to the government agency's digital interface.

[0625] Once the licensing process begins, the server receives progress information from government agencies and updates it in real time. The updated progress information is then pushed from the server to the user's terminal, allowing the user to check this information as needed. This system enables users to automate most tasks, from document creation to licensing acquisition, resulting in reduced processing time and improved accuracy.

[0626] As a concrete example, consider the process of creating an application form. The user enters the necessary data for the application on their terminal. This data may include the applicant's name, address, and details about the application. When the user clicks the "Submit" button, the terminal sends this data to the server. The server analyzes the data and automatically generates the application form using a generation engine. Once the application is checked, it is immediately sent to the government agency. While the application is being processed, the server monitors its progress and notifies the user immediately of any changes. In this way, the user can always monitor the status of their application.

[0627] The following describes the processing flow.

[0628] Step 1:

[0629] The user uses a terminal to enter the necessary information for the application into the interface. This information includes the applicant's details and other information required for the procedure.

[0630] Step 2:

[0631] The terminal encrypts the entered information and sends it to the server via a secure communication protocol.

[0632] Step 3:

[0633] The server analyzes the received information and selects the necessary document template. Then, it automatically generates the document using a generation engine.

[0634] Step 4:

[0635] The server performs a format check on the generated document to verify that it meets the specified standards. If there are any problems with the check, it generates an error report and sends a notification to the user prompting them to make corrections.

[0636] Step 5:

[0637] The server sends documents that it deems format-compliant to the government agency's digital interface. The transmission is performed using an API.

[0638] Step 6:

[0639] The server receives progress information regarding permits and licenses from government agencies and immediately saves updated information.

[0640] Step 7:

[0641] The server pushes progress updates to the user's device. Users can then check these notifications and monitor the progress of their application in real time.

[0642] Step 8:

[0643] Users can check the final approval status on their device and share the information with clients and stakeholders as needed.

[0644] Through the above process, the entire procedure from application to obtaining permits and licenses is streamlined.

[0645] (Example 1)

[0646] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0647] Traditionally, the process of obtaining permits and licenses in administrative procedures involved a great deal of manual work, requiring considerable time and effort. Furthermore, it was difficult to monitor the progress of the procedures in real time, which was inconvenient for users. There were also challenges regarding data security and document accuracy.

[0648] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0649] In this invention, the server includes means for analyzing information received from the user and automatically generating various documents using a multi-functional generation means, means for verifying the automatically generated documents and confirming their consistency based on a prescribed format, and means for monitoring the progress of the procedure and notifying the user in real time. This makes it possible to automate document creation and streamline progress confirmation in administrative procedures.

[0650] "User" refers to an individual or organization that uses the system to input information and provides information for administrative procedures.

[0651] "Multifunctional generation means" refers to a device or program that automatically generates necessary documents based on input information, with the aim of efficiently creating various types of documents.

[0652] "Standard format" refers to the criteria or template used to verify that a document is generated in an appropriate and consistent format.

[0653] "Public institution electronic interface" refers to online platforms provided by public institutions such as government agencies, and the means of communication used to electronically transmit documents and conduct procedures.

[0654] "Progress status" refers to information indicating the current stage of an administrative procedure, and is data used to allow users to check the progress of the procedure.

[0655] "Enhanced security" refers to the process of encrypting entered information to protect it from leakage and unauthorized access, and is a method to guarantee secure data communication.

[0656] A "central device" refers to a central server or computer system that receives and processes data sent by users.

[0657] "Instant notification" refers to a function that instantly informs users when important information is updated, allowing them to keep track of the progress of procedures in a timely manner.

[0658] This system integrates multiple components, including users, terminals, servers, and generative AI models, to streamline administrative procedures. Users access the system using their work terminals. These terminals are personal computers, such as those running Windows or macOS, and can be accessed via a web browser. Users input the necessary information for creating application forms into a GUI interface.

[0659] The terminal encrypts the provided information and transmits it to the server over the network. This encryption uses standard encryption technologies such as AES (Advanced Encryption Standard) to ensure data security. The server operates on cloud platforms such as AWS and Azure, offering high processing power and reliability.

[0660] The server decrypts the received encrypted data and automatically generates the necessary documents using a pre-trained generative AI model. This generative AI model uses OpenAI's GPT series or similar generative engines. Document generation uses prompts based on the given information. For example, the generative engine might be given instructions such as, "Generate the documents required for administrative procedures."

[0661] The generated documents are validated by the server based on pre-configured formatting standards. Formatting checks typically use regular expressions in Python or Java to verify the document's integrity and compliance. Once the checks are complete, the documents are transmitted via the government agency's electronic interface.

[0662] Progress information is monitored in real time by the server, and push notifications are sent to the user's device each time an update is made. Firebase Cloud Messaging and Apple Push Notification Service are used for push notifications. This allows users to immediately understand the progress of the process and take action as needed.

[0663] As a result, users can efficiently manage complex document creation and administrative procedures through this system, achieving both accuracy and speed.

[0664] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0665] Step 1:

[0666] Users use a work terminal to input the information required for administrative procedures into the interface. This information includes data such as name, address, and application details. Once this information is entered, it is temporarily stored on the terminal.

[0667] Step 2:

[0668] The terminal encrypts information entered by the user using AES encryption technology. The encrypted data is then sent to the server using the secure HTTPS protocol. This process reduces the risk of data being intercepted or tampered with during transmission.

[0669] Step 3:

[0670] The server receives the data from the terminal and decrypts it. This decryption allows the server to retrieve the original information. Next, a generative AI model is used to automatically generate the necessary documents from the input data. Specifically, the generation engine is given the prompt message "Generate the documents required for administrative procedures," and the generated documents are saved as a new file.

[0671] Step 4:

[0672] The server validates the generated document based on a pre-configured standard format. Here, Python regular expressions are used to check the document's integrity and conformance. If the correct format is confirmed, the server proceeds to the next step.

[0673] Step 5:

[0674] The server sends verified documents to the public institution's electronic interface. This transmission is done via an API, and the documents are automatically registered in the public database. After the transmission is complete, the server records the process and saves the necessary logs.

[0675] Step 6:

[0676] The server monitors the processing progress of submitted documents in real time. Progress information is periodically obtained from public institutions. Any new developments or changes are updated on the server as progress information.

[0677] Step 7:

[0678] The server pushes updated progress information to the user's device. This notification uses Firebase Cloud Messaging or Apple Push Notification Service, allowing users to receive the notification instantly. Upon receiving the notification, the user can check the progress of the process and decide on the next action as needed.

[0679] (Application Example 1)

[0680] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0681] Currently, administrative procedures are time-consuming and labor-intensive, making it difficult for applicants to track their progress in a timely manner. Furthermore, submitting additional information required for applications is an inefficient process. Therefore, there is a need for increased efficiency in administrative procedures as a whole, and improved convenience for citizens.

[0682] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0683] In this invention, the server includes means for receiving information entered by a user and automatically creating a document, means for reviewing the created document and checking its format, means for connecting to a digital interface of a public institution and transmitting the document, means for monitoring the progress of the licensing process and notifying the user in real time, and means for users to submit additional information. This enables a significant increase in the efficiency of administrative procedures and immediate monitoring of progress.

[0684] "A means of receiving information entered by a user and automatically creating a document" refers to a process that automatically generates necessary documents based on data provided by the user.

[0685] "Means for reviewing created documents and checking their format" refers to a function for verifying whether the structure and format of the generated documents conform to predetermined regulations.

[0686] "Means of connecting to the digital interface of a public institution to transmit documents" refers to connection methods for electronically transmitting documents generated in the systems of local governments and government agencies.

[0687] "Means of monitoring the progress of the licensing process and notifying users in real time" refers to procedures for constantly checking the status of the application process and immediately informing users of any progress or changes.

[0688] "Means for users to submit additional information" refers to a system that allows applicants to provide additional data or documents as needed during the application process.

[0689] The system for realizing this invention consists of a user, a terminal, and a server. First, the user uses an information terminal such as a smartphone or personal computer to operate a dedicated interface and input the information necessary for administrative procedures. The input information is encrypted using the SSL / TLS protocol and securely transmitted to the server.

[0690] The server processes the received information using Python and automatically generates the necessary documents using a generative AI model (e.g., GPT-3). The generated documents are checked for formatting correctness using software libraries such as NumPy and Pandas. Once the check is complete, the documents are sent to the public institution's digital interface.

[0691] Furthermore, the server monitors the progress of the licensing process and notifies the user in real time using Firebase Cloud Messaging. This allows the user to always know the progress of their application. In addition, if additional information is required during the application process, the user can submit it via their device.

[0692] A concrete example of its use is the procedure for changing an address when moving. The user enters their new address and necessary personal information, and the system automatically generates the required documents for the procedure. The system then notifies the user of the progress based on this information, so the user can always check the status of the procedure.

[0693] Examples of prompt statements for generative AI models include the following:

[0694] "Please enter the necessary details for the new address change notification and generate the document."

[0695] "Please monitor the progress and notify us of any changes."

[0696] In this way, users can proceed with administrative procedures efficiently and quickly.

[0697] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0698] Step 1:

[0699] The user accesses the information input interface using a terminal and enters the information required for administrative procedures. This input data includes, for example, address, name, and detailed information about the procedure. Once the information is entered, the terminal encrypts the data and prepares for secure communication to the server. Input: User input data, Output: Encrypted data.

[0700] Step 2:

[0701] The terminal sends encrypted data to the server using the SSL / TLS protocol. The server decrypts the received data and prepares it for analysis. Input: encrypted data, Output: decrypted input data. This process ensures the security of the transmitted and received data.

[0702] Step 3:

[0703] The server uses the decoded data to automatically generate the necessary documents using a generative AI model. Python is used for data analysis, breaking down various elements of the data and extracting the information necessary for the document generation process. Input: Analyzed data, Output: Generated documents. In this step, the AI ​​constructs the optimal document based on the provided data.

[0704] Step 4:

[0705] The generated documents are format-checked on the server side using Pandas and NumPy. This verifies that the document's integrity and format conform to pre-configured standards. Input: Generated document; Output: Format-checked document. If formatting errors are found, a correction process is applied.

[0706] Step 5:

[0707] The server sends the verified document to the public institution's digital interface. This is done via API communication, etc., and the procedure officially begins. Input: Format-verified document, Output: Sent document. Through this process, the document becomes part of the formal procedure.

[0708] Step 6:

[0709] As the licensing process progresses, the server monitors the progress and sends real-time notifications to the device using Firebase Cloud Messaging. Users receive notifications on their devices and check the status. Input: progress data, Output: push notifications. This notification allows users to stay informed of the latest status.

[0710] Step 7:

[0711] In some cases, additional information may be required. Users can easily submit additional information and documents on their device. This information is then sent back to the server, and the process continues. Input: Additional information, Output: Submitted additional information. This ensures the process proceeds without interruption.

[0712] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0713] This invention is a system that combines a user, a server, a terminal, and an emotion engine, and in addition to streamlining administrative procedures, it provides services that take into account the user's emotional state. The user first uses the terminal to input the information necessary for the application into the interface. During this input process, the terminal utilizes the emotion engine to analyze the user's emotions in real time. The emotion engine determines the user's emotional state based on the speed and patterns of input, the words selected, and other factors.

[0714] User sentiment data is encrypted and sent to the server along with other input information. The server uses this data to automatically generate documents using a generation engine. During document generation, the user's emotional state is taken into consideration to employ expressions that avoid misunderstandings and language that is sensitive to their feelings.

[0715] The generated documents undergo various format checks on the server. Documents that pass the checks are sent to the government agency's digital interface, including additional information tailored to the user's emotions. For example, if a user is feeling anxious, the server can add a message indicating this to draw the recipient's attention.

[0716] During the licensing process, the server receives and updates information from government agencies and sends real-time notifications to the user's device. The sentiment engine can also reassess the user's emotions during progress notifications and include emotion-sensitive feedback and advice on the next steps. For example, if the server determines that the user is frustrated, it will send a notification that explains the cause of the delay and when it is expected to be resolved.

[0717] Thus, this system aims to improve the user experience by adding emotional considerations to the conventional administrative procedures, while also making the entire application process smoother.

[0718] The following describes the processing flow.

[0719] Step 1:

[0720] The user enters the necessary information for the application using a terminal. During this process, an emotion engine built into the terminal analyzes the input data, the user's input speed, and the words they choose in real time.

[0721] Step 2:

[0722] The terminal generates data indicating the user's emotional state and sends it to the server in an encrypted format along with the entered application information.

[0723] Step 3:

[0724] The server automatically generates documents using a generation engine based on the received information and sentiment data. During generation, it selects appropriate wording and expressions, taking sentiment data into consideration.

[0725] Step 4:

[0726] The server performs a format check on the generated document to ensure it conforms to the specified standards. If any problems are found, it notifies the user that corrections are needed.

[0727] Step 5:

[0728] The server sends documents that have passed its checks to the government agency's digital interface. At this time, notes regarding the user's emotional state are added as needed to encourage consideration for the recipient.

[0729] Step 6:

[0730] The server receives progress information from government agencies and updates it. If there is updated information, it re-evaluates the user's sentiment and notifies the device in real time.

[0731] Step 7:

[0732] Users review the provided information and feedback, and then report back to clients and stakeholders. Throughout this process, emotionally driven advice is provided, allowing for smoother execution of subsequent actions.

[0733] This streamlines the entire application process, allowing users to proceed with their tasks while receiving emotional support.

[0734] (Example 2)

[0735] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0736] In modern administrative procedures, processes are often carried out mechanically without considering the user's feelings, potentially leading to a diminished user experience. Furthermore, users frequently experience anxiety and tension during these procedures, hindering efficiency. Additionally, misunderstandings and communication breakdowns are common during document creation and verification, potentially causing delays.

[0737] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0738] In this invention, the server includes means for receiving information input from a user and automatically creating a document using generation means, means for analyzing the emotional state contained in the input information and creating a document taking the results into consideration, and means for transmitting the created document including additional information indicating the emotional state. This enables flexible responses that take into account the user's emotions and efficient implementation of administrative procedures.

[0739] A "user" refers to a person who uses the system to carry out administrative procedures.

[0740] "Input information" refers to the data used by users when providing information necessary for a procedure.

[0741] "Generation method" refers to technology that automatically creates documents based on input information.

[0742] "Emotional state" refers to data that represents the user's psychological state or feelings.

[0743] "Analysis" refers to the process by which the emotion engine analyzes the user's input data to determine their emotional state.

[0744] "Additional information" refers to additional data that indicates the user's emotional state.

[0745] "Public institutions" refer to official organizations that manage administrative procedures, such as the government and local authorities.

[0746] A "digital interface" refers to an electronic connection method used for sending and receiving information.

[0747] The "licensing process" refers to a series of procedures for making decisions to approve or permit user applications.

[0748] "Progress" refers to information that indicates the process or status of a procedure.

[0749] "Push notifications" refer to a technology that sends information from a system to a user's device in real time.

[0750] This invention is a system that combines a user, a server, a terminal, and an emotion analysis engine. The system begins with the user using a terminal to input information necessary for administrative procedures. The terminal is equipped with software called an emotion engine, which analyzes the user's emotional state in real time based on the user's typing speed, input patterns, and selected words.

[0751] The device encrypts the analyzed sentiment data and sends it to the server along with other input information. The server automatically generates a document using a generative engine (AI model) based on the received data. This generative engine considers the user's emotional state and selects appropriate wording and expressions to construct the document. The generated document may also include additional information tailored to the user's emotions.

[0752] Next, the server checks the format of the generated document to ensure there are no problems. Once that is complete, the document is sent to the public institution's digital interface, and additional emotional messages may be added as needed. For example, if the user is expressing anxiety, the server can add a supplementary message to that effect to draw the recipient's attention.

[0753] The server also monitors the progress of the licensing process and receives and updates information from government agencies in a timely manner. This progress information is notified to the user's device in real time. Upon receiving the notification, the device's sentiment engine reassessss the user's emotions and provides situation-appropriate feedback and advice on the next steps.

[0754] As a concrete example, consider a scenario where a user applies for a license for a new business. In this case, if the emotion engine detects tension while creating the document, the server sends a notification to the recipient containing a note to take note. An example of a prompt message would be, "Based on the data obtained from the administrative procedure, please use the generative AI model to create an emotion-sensitive document."

[0755] Thus, this system aims to support efficient and smooth administrative procedures while taking into account the user's emotional state.

[0756] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0757] Step 1:

[0758] The user enters the information required for the administrative procedure through the terminal's interface. In this step, the user fills in input fields such as their name, address, and details about the procedure. The entered data is temporarily stored on the terminal and prepared for processing in the next step.

[0759] Step 2:

[0760] The device uses an emotion engine to analyze the user's emotions based on input information. Specifically, it analyzes typing speed, error frequency, and selected words, and uses this data to classify the user's emotional state into categories such as "reassured," "anxious," and "unsettled." The analysis results are stored on the device as emotion data.

[0761] Step 3:

[0762] The device encrypts input information and sentiment data before sending it to the server. In this step, in addition to the normal data transmission process, an encryption algorithm is applied to protect user privacy. The server receives the encrypted data and prepares to decrypt it.

[0763] Step 4:

[0764] The server decrypts encrypted information and automatically generates documents using a generation engine. In this process, a generation AI model is used, combining the decrypted input information with sentiment data to select appropriate expressions and wording based on the content. The generated documents appropriately reflect the key points of the input information and are emotionally sensitive.

[0765] Step 5:

[0766] The server checks the format of the generated document. At this stage, it verifies the grammar, formality, and layout of the document to ensure there are no problems. Afterward, the document is prepared for the next processing step.

[0767] Step 6:

[0768] The server adds additional information indicating the emotional state of the document and transmits it to the public institution's digital interface. For example, if the user is anxious, a message indicating this is added to alert the recipient. The document is designed to facilitate smooth handling by the procedural officer.

[0769] Step 7:

[0770] The server monitors the progress of the licensing process and updates it whenever progress information is received. This update information is then notified to the user's device in real time. This allows the user to always be aware of the status of their procedure.

[0771] Step 8:

[0772] The device restarts its emotion engine each time a new notification arrives, reassessing the user's emotions. Based on the user's emotional state, it provides additional advice and feedback regarding progress updates. For example, if the device determines that the user is frustrated, it will provide a notification detailing the reason for the delay and the expected resolution time.

[0773] Through this series of steps, the system aims to streamline administrative procedures efficiently and smoothly while taking user emotions into consideration.

[0774] (Application Example 2)

[0775] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0776] In administrative procedures, the challenge lies in reducing the stress and anxiety faced by residents and achieving efficiency and smooth progress in these processes. Furthermore, it is necessary to improve understanding of and trust in these procedures through communication that takes into account the emotions of the users.

[0777] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0778] In this invention, the server includes means for receiving information input from a user and analyzing the user's emotional state using an emotion analysis engine, means for automatically creating a document that takes the analyzed emotional data into account using a generation engine, and means for connecting to the digital interface of an administrative agency and transmitting the document. This makes it possible to provide the user with feedback based on their emotional state according to the progress of the administrative procedure, thereby reducing the stress of the procedure.

[0779] "User" refers to an individual or organization that uses this system to carry out administrative procedures.

[0780] An "emotion analysis engine" refers to software or hardware that analyzes the user's input information, including speed, patterns, and selected words, to determine the user's emotional state.

[0781] A "generative engine" refers to software that automatically creates user-specific documents by taking into account analyzed emotional data.

[0782] "Document" refers to a set of documents that incorporate the information necessary for the user's application process and are submitted to government agencies.

[0783] "Feedback" refers to advice and information provided by the system in a way that is tailored to the user's emotional state, and is used to support the smooth and secure execution of procedures.

[0784] "Administrative agency" refers to a government or related public body that has the authority to accept applications from users and issue licenses and permits.

[0785] A "digital interface" refers to the online communication methods and platforms used by government agencies and this system to exchange information.

[0786] "Notifications" refer to messages or alerts that communicate the progress of this system and related information to users in real time.

[0787] This system consists of a user, a terminal, a server, and an emotion analysis engine. Specifically, the user uses a terminal to input the information required for the application, and this input data is analyzed in real time by the emotion analysis engine. The emotion analysis engine is responsible for determining the user's emotional state based on the speed, patterns, and selected words of the input information. In terms of hardware, a smartphone or tablet terminal is used to receive user input, and in terms of software, there is a platform on which the emotion analysis engine and generation engine operate.

[0788] The server automatically generates documents using a generation engine based on information received from the user and analyzed emotional data. This process considers the user's emotional state, selecting expressions that avoid misunderstandings and using emotionally sensitive language. The generated documents are then formatted and sent to the government agency's digital interface. The server also generates feedback tailored to the user's emotional state and notifications to guide the user through the next steps. Specific software components include an emotional analysis module and a document generation module.

[0789] For example, when a user is making an online payment for utilities, this system can provide reassuring messages to reduce user stress and frustration, ensuring the process goes smoothly. An example of a prompt for the generating AI model might be: "Generate appropriate feedback based on the user's emotional data during the online process. For example, provide reassuring feedback if the user is feeling anxious."

[0790] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0791] Step 1:

[0792] The user uses a terminal to input the necessary information for the application into the interface. This data input is the first input to the system. The terminal collects data such as characters, speed, and patterns entered, and prepares it for subsequent processing.

[0793] Step 2:

[0794] The device sends the input data to an emotion analysis engine, which determines the user's emotional state in real time. The emotion analysis engine analyzes the speed and patterns of the input string and the selected words, and uses that information to output the user's emotional state.

[0795] Step 3:

[0796] The server receives emotional data obtained from the emotion analysis engine and information entered by the user. Based on this information, it uses a generation engine to automatically generate documents that take the user's emotional state into consideration. The documents use expressions that do not cause misunderstandings and words that are sensitive to the user's emotions, and the output is content that is appropriate for the user.

[0797] Step 4:

[0798] The generated documents undergo a format check on the server. The server verifies that the document's appearance and content conform to the specified requirements, and corrects any deficiencies. Only documents that pass this check proceed to the next step.

[0799] Step 5:

[0800] The server transmits the proofread documents to the government agency's digital interface. The output here is a document that follows official procedures and provides information that the government agency can use to process it appropriately.

[0801] Step 6:

[0802] The server monitors the progress of the licensing process and notifies the user of updated information. The user receives real-time progress updates via their device, along with guidance on the next steps and feedback. This feedback is tailored to the user's emotional state, providing reassurance.

[0803] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0804] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0805] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0806] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0807] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0808] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0809] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0810] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0811] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0812] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0813] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0814] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0815] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0816] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0817] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0818] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0819] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0820] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0821] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0822] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0823] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0824] The following is further disclosed regarding the embodiments described above.

[0825] (Claim 1)

[0826] A means of receiving information entered by a user and automatically creating a document using a generation engine,

[0827] A means of reviewing the created document and checking its format,

[0828] A means of connecting to the digital interface of a government agency and transmitting documents,

[0829] A means of monitoring the progress of the licensing process and notifying users in real time,

[0830] A system that includes this.

[0831] (Claim 2)

[0832] The system according to claim 1, further comprising means for encrypting user-entered information and transmitting it to a server.

[0833] (Claim 3)

[0834] The system according to claim 1, further comprising means for periodically acquiring progress information and pushing notifications to users of the updated data.

[0835] "Example 1"

[0836] (Claim 1)

[0837] A means for analyzing information received from users and automatically generating various documents using a multi-functional generation means,

[0838] A means for verifying the automatically generated documents and confirming their consistency based on a prescribed format,

[0839] A means of connecting to the electronic interface of a public institution and sending documents,

[0840] A means of monitoring the progress of the procedure and notifying the user in real time,

[0841] A system that includes this.

[0842] (Claim 2)

[0843] The system according to claim 1, further comprising means for transmitting user-entered information to a central device with enhanced security.

[0844] (Claim 3)

[0845] The system according to claim 1, further comprising means for periodically obtaining progress status and immediately notifying the user of updated information.

[0846] "Application Example 1"

[0847] (Claim 1)

[0848] A means of receiving information entered by a user and automatically creating a document using a generation engine,

[0849] A means of reviewing the created document and checking its format,

[0850] A means of transmitting documents by connecting to the digital interface of a public institution,

[0851] A means of monitoring the progress of the licensing process and notifying users in real time,

[0852] A means by which users can submit additional information,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, further comprising means for encrypting user-entered information and transmitting it to a server.

[0856] (Claim 3)

[0857] The system according to claim 1, further comprising means for periodically acquiring progress information and pushing notifications to users of the updated data.

[0858] "Example 2 of combining an emotion engine"

[0859] (Claim 1)

[0860] A means for receiving information entered by a user and automatically creating a document using a generation means,

[0861] A means of analyzing the emotional state contained in the input information and creating a document that takes the results into consideration,

[0862] A means of reviewing the created document and checking its format,

[0863] Means for including additional information indicating emotional state in a document,

[0864] A means of transmitting documents by connecting to the digital interface of a public institution,

[0865] A means of monitoring the progress of the licensing process and notifying users in real time,

[0866] A system that includes this.

[0867] (Claim 2)

[0868] The system according to claim 1, further comprising means for encrypting user-entered information and emotional state data and transmitting them to a server.

[0869] (Claim 3)

[0870] The system according to claim 1, further comprising means for periodically acquiring progress information and pushing notifications to users of the updated data.

[0871] "Application example 2 when combining with an emotional engine"

[0872] (Claim 1)

[0873] A means of receiving information input from the user and analyzing the user's emotional state using an emotion analysis engine,

[0874] A means for automatically creating documents that take into account analyzed emotional data using a generation engine,

[0875] A means of reviewing the created document and the feedback on it, and checking the format,

[0876] A means of connecting to the digital interface of a government agency and transmitting documents,

[0877] A means of monitoring the progress of the licensing process and sending notifications based on the user's emotional state in real time,

[0878] A system that includes this.

[0879] (Claim 2)

[0880] The system according to claim 1, further comprising means for encrypting user-entered information and transmitting it to a server, and for adding emotionally-based supplementary information.

[0881] (Claim 3)

[0882] The system according to claim 1, further comprising means for periodically acquiring progress information and generating push notifications that provide the user with feedback corresponding to their emotional state and the next steps. [Explanation of symbols]

[0883] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving information entered by a user and automatically creating a document using a generation engine, A means of reviewing the created document and checking its format, A means of connecting to the digital interface of a government agency and transmitting documents, A means of monitoring the progress of the licensing process and notifying users in real time, A system that includes this.

2. The system according to claim 1, further comprising means for encrypting user-entered information and transmitting it to a server.

3. The system according to claim 1, further comprising means for periodically acquiring progress information and pushing notifications of updated data to users.

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